[HTML][HTML] A review of deep learning in dentistry

C Huang, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

[HTML][HTML] Application and performance of artificial intelligence technology in detection, diagnosis and prediction of dental caries (DC)—a systematic review

SB Khanagar, K Alfouzan, M Awawdeh, L Alkadi… - Diagnostics, 2022 - mdpi.com
Evolution in the fields of science and technology has led to the development of newer
applications based on Artificial Intelligence (AI) technology that have been widely used in …

[HTML][HTML] An explainable deep learning model to prediction dental caries using panoramic radiograph images

F Oztekin, O Katar, F Sadak, M Yildirim, H Cakar… - Diagnostics, 2023 - mdpi.com
Dental caries is the most frequent dental health issue in the general population. Dental
caries can result in extreme pain or infections, lowering people's quality of life. Applying …

Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN

AR Kumari, SN Rao, PR Reddy - Biomedical Signal Processing and Control, 2022 - Elsevier
The early identification of dental caries is necessary for corresponding treatments and the
above reason, the bitewing radiography is utilized to offer initial caries detection. In clinical …

[HTML][HTML] Lightweight deep learning methods for panoramic dental X-ray image segmentation

S Lin, X Hao, Y Liu, D Yan, J Liu, M Zhong - Neural Computing and …, 2023 - Springer
Dental X-ray image segmentation is helpful for assisting clinicians to examine tooth
conditions and identify dental diseases. Fast and lightweight segmentation algorithms …

Diffusion-based hierarchical multi-label object detection to analyze panoramic dental x-rays

IE Hamamci, S Er, E Simsar, A Sekuboyina… - … Conference on Medical …, 2023 - Springer
Due to the necessity for precise treatment planning, the use of panoramic X-rays to identify
different dental diseases has tremendously increased. Although numerous ML models have …

[HTML][HTML] Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review

D Albano, V Galiano, M Basile, F Di Luca, S Gitto… - BMC Oral Health, 2024 - Springer
Background The aim of this systematic review is to evaluate the diagnostic performance of
Artificial Intelligence (AI) models designed for the detection of caries lesion (CL). Materials …

[HTML][HTML] Deep learning in diagnosis of dental anomalies and diseases: A systematic review

E Sivari, GB Senirkentli, E Bostanci, MS Guzel, K Acici… - Diagnostics, 2023 - mdpi.com
Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …

[HTML][HTML] Transforming dental caries diagnosis through artificial intelligence-based techniques

S Anil, P Porwal, A Porwal - Cureus, 2023 - ncbi.nlm.nih.gov
Diagnosing dental caries plays a pivotal role in preventing and treating tooth decay.
However, traditional methods of diagnosing caries often fall short in accuracy and efficiency …

A deep learning approach for detecting colorectal cancer via Raman spectra

Z Cao, X Pan, H Yu, S Hua, D Wang, DZ Chen… - BME …, 2022 - spj.science.org
Objective and Impact Statement. Distinguishing tumors from normal tissues is vital in the
intraoperative diagnosis and pathological examination. In this work, we propose to utilize …